In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Primates make decisions visually by shifting their view from one object to the next,
comparing values between objects, and choosing the best reward, even before acting. Here …

We study the size of a neural network needed to approximate the maximum function over d
inputs, in the most basic setting of approximating with respect to the L 2 norm, for continuous …

There are many modeling works that aim to explain people's behaviors that violate classical
economic theories. However, these models often do not take into full account the multi-stage …

Accentuation has been proposed as a general principle of perceptual organization. Here,
we have developed a neurodynamic architecture to explain how accentuation affects …

We developed an interactive cortical circuit for visual segmentation that integrates bottom-up
and top-down processing to segregate or group visual elements. A bottom-up pathway …

Attractors play a key role in a wide range of processes including learning and memory. Due
to recent innovations in recording methods, there is increasing evidence for the existence of …

Adaptive decision-making requires consideration of objective risks and rewards associated
with each option, as well as subjective preference for risky/safe alternatives. Inaccurate …

When making decisions under risk, people often exhibit behaviors that classical economic
theories cannot explain. Newer models that attempt to account for these irrational behaviors …

The mammalian navigation system comprises various kinds of neurons respon sible for
position perception and spatial path planning, involving the integration of multiple …